Yungui Huang

2.0k total citations
72 papers, 1.1k citations indexed

About

Yungui Huang is a scholar working on Molecular Biology, General Health Professions and Genetics. According to data from OpenAlex, Yungui Huang has authored 72 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in General Health Professions and 18 papers in Genetics. Recurrent topics in Yungui Huang's work include Genetic Associations and Epidemiology (11 papers), Mobile Health and mHealth Applications (10 papers) and Biomedical Text Mining and Ontologies (8 papers). Yungui Huang is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), Mobile Health and mHealth Applications (10 papers) and Biomedical Text Mining and Ontologies (8 papers). Yungui Huang collaborates with scholars based in United States, Canada and China. Yungui Huang's co-authors include Simon Lin, Emre Sezgın, Soheil Moosavinasab, Veronica J. Vieland, Huan Sun, Ujjwal Ramtekkar, Ping Zhang, Zhen Wang, Xiang Yue and Srinivasan Parthasarathy and has published in prestigious journals such as Bioinformatics, PLoS ONE and American Journal of Psychiatry.

In The Last Decade

Yungui Huang

69 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yungui Huang United States 17 358 206 175 166 141 72 1.1k
Alexander W. Charney United States 21 243 0.7× 225 1.1× 106 0.6× 203 1.2× 72 0.5× 68 2.0k
Elias Chaibub Neto United States 15 648 1.8× 117 0.6× 91 0.5× 256 1.5× 338 2.4× 33 1.9k
Christine Suver United States 14 313 0.9× 70 0.3× 181 1.0× 224 1.3× 59 0.4× 27 1.3k
Michael Kellen United States 8 267 0.7× 68 0.3× 104 0.6× 111 0.7× 50 0.4× 11 906
Sherry‐Ann Brown United States 24 363 1.0× 80 0.4× 71 0.4× 154 0.9× 48 0.3× 96 2.0k
Amos Folarin United Kingdom 18 291 0.8× 160 0.8× 84 0.5× 56 0.3× 66 0.5× 57 1.2k
Henriette Schmock Denmark 6 221 0.6× 186 0.9× 73 0.4× 97 0.6× 60 0.4× 7 780
Karl E. Misulis United States 11 242 0.7× 184 0.9× 46 0.3× 32 0.2× 113 0.8× 29 1.2k
Miguel Ángel Mayer Spain 18 212 0.6× 139 0.7× 281 1.6× 39 0.2× 20 0.1× 75 1.1k
Péter Antal Hungary 23 423 1.2× 102 0.5× 31 0.2× 101 0.6× 47 0.3× 91 1.2k

Countries citing papers authored by Yungui Huang

Since Specialization
Citations

This map shows the geographic impact of Yungui Huang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yungui Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yungui Huang more than expected).

Fields of papers citing papers by Yungui Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yungui Huang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yungui Huang. The network helps show where Yungui Huang may publish in the future.

Co-authorship network of co-authors of Yungui Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Yungui Huang. A scholar is included among the top collaborators of Yungui Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yungui Huang. Yungui Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jackson, D, et al.. (2025). Challenges and opportunities in healthcare workplace violence training: A qualitative study of staff experiences. Journal of Workplace Behavioral Health. 40(4). 641–654.
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Lorman, Vitaly, Hanieh Razzaghi, Xing Song, et al.. (2023). A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER program. PLoS ONE. 18(8). e0289774–e0289774. 4 indexed citations
5.
Militello, Lisa K., Emre Sezgın, Yungui Huang, & Simon Lin. (2021). Delivering Perinatal Health Information via a Voice Interactive App (SMILE): Mixed Methods Feasibility Study. JMIR Formative Research. 5(3). e18240–e18240. 13 indexed citations
6.
Zhang, Xu, et al.. (2021). Measuring Telehealth Visit Length and Schedule Adherence Using Videoconferencing Data. Telemedicine Journal and e-Health. 28(7). 976–984. 10 indexed citations
7.
Peng, Jin, et al.. (2021). A Machine Learning Approach to Uncovering Hidden Utilization Patterns of Early Childhood Dental Care Among Medicaid-Insured Children. Frontiers in Public Health. 8. 599187–599187. 9 indexed citations
8.
Rust, Steve, Sven Bambach, Jeffrey Hoffman, et al.. (2020). The Deterioration Risk Index: Predicting Pediatric Inpatient Deterioration with Machine Learning and the Electronic Health Record. PEDIATRICS. 146. 229–230. 1 indexed citations
9.
Shen, Jiabin, Henry Xiang, Jeremy Patterson, et al.. (2020). Virtual Reality–Based Executive Function Rehabilitation System for Children With Traumatic Brain Injury: Design and Usability Study. JMIR Serious Games. 8(3). e16947–e16947. 32 indexed citations
10.
Sezgın, Emre, Garey Noritz, Jeffrey Hoffman, & Yungui Huang. (2020). A Medical Translation Assistant for Non–English-Speaking Caregivers of Children With Special Health Care Needs: Proposal for a Scalable and Interoperable Mobile App. JMIR Research Protocols. 9(10). e21038–e21038. 5 indexed citations
11.
Yang, Jingzhen, Keith Owen Yeates, Lindsay Sullivan, et al.. (2019). Rest Evaluation for Active Concussion Treatment (ReAct) Protocol: a prospective cohort study of levels of physical and cognitive rest after youth sports-related concussion. BMJ Open. 9(4). e028386–e028386. 7 indexed citations
12.
Sezgın, Emre, Garey Noritz, Steve Rust, et al.. (2019). Capturing At-Home Health and Care Information for Children With Medical Complexity Using Voice Interactive Technologies: Multi-Stakeholder Viewpoint. Journal of Medical Internet Research. 22(2). e14202–e14202. 24 indexed citations
13.
Moosavinasab, Soheil, et al.. (2018). Char2Vec: Learning the Semantic Embedding of Rare and Unseen Words in the Biomedical Literature.. AMIA. 1 indexed citations
14.
Yang, Jing, Steve Rust, Jeffrey Hoffman, et al.. (2018). Chasing the Holy Grail - Predicting Pediatric Inpatient Deterioration Using a Vitals Risk Index. PEDIATRICS. 142. 570–570. 1 indexed citations
15.
Fosler‐Lussier, Eric, Simon Lin, Soheil Moosavinasab, et al.. (2018). Phrase2VecGLM: Neural generalized language model–based semantic tagging for complex query reformulation in medical IR. 118–128. 2 indexed citations
16.
Chen, Wei, Soheil Moosavinasab, Steve Rust, et al.. (2016). Evaluation of a Machine Learning Method to Rank PubMed Central Articles For Clinical Relevancy: NCH at TREC 2016 Clinical Decision Support Track.. Text REtrieval Conference. 1 indexed citations
17.
Moosavinasab, Soheil, Jeremy Patterson, Robert Strouse, et al.. (2016). ‘RE:fine drugs’: an interactive dashboard to access drug repurposing opportunities. Database. 2016. baw083–baw083. 40 indexed citations
18.
Stewart, William C., Yungui Huang, David A. Greenberg, & Veronica J. Vieland. (2014). Next-generation linkage and association methods applied to hypertension: a multifaceted approach to the analysis of sequence data. BMC Proceedings. 8(S1). S111–S111. 4 indexed citations
19.
Piven, Joseph, Veronica J. Vieland, Morgan Parlier, et al.. (2013). A molecular genetic study of autism and related phenotypes in extended pedigrees. Journal of Neurodevelopmental Disorders. 5(1). 30–30. 14 indexed citations
20.
Shi, Lei, et al.. (2000). Respiratory symptoms and use of medical care associated with child day care and health care plan among preschool children.. PubMed. 96(8). 335–40. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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